HomeNewsBusinessMoneycontrol Pro Panorama | Seeking an AI headstart

Moneycontrol Pro Panorama | Seeking an AI headstart

In this edition of the Moneycontrol Pro Panorama: India Inc's geo-strategic policy in action, the outcome of SEBI's action on finfluencers, Indian steel majors affected by cheap Chinese products, banks must rethink deposit strategies for the youth, and more

January 31, 2025 / 15:19 IST
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Artificial Intelligence
Generative AI has left us with more questions than answers every time.

Dear Reader,

This newsletter could have been, and perhaps would in the future, be written by artificial intelligence (you might want to scroll to the end to make sure a human wrote it). This week, Generative AI stole the limelight from critical market moving events such as US Federal Reserve policy and even the bunch of sweeping executive orders that US President Donald Trump signed. A Chinese start-up DeepSeek train-wrecked US supremacy in Generative AI, sending ripples across the boardrooms of the Magnificent Seven and making their stock valuations humble.

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Questions, from the inane to the outrageous, surround Generative AI today. In fact, Generative AI has left us with more questions than answers every time and we shouldn’t complain as most breakthrough innovations are met with burgeoning questions and doubts onto their road for acceptance. AI propagandists opine that it would upend how the world works, reasons and is. AI doomsday believers say it will come for all of us, our jobs, and our lives. While both scenarios are on the horizon -- and a horizon is always first a mirage -- much of the journey of Generative AI is likely to follow earlier breakthrough innovations. Think wheels, airplanes to even nuclear bombs.

The first response was to question its practical use. Then came the realisation of the potential and finally the technology is everywhere. In his book Same as Ever, investment writer Morgan Housel states that new technology is always underestimated and is near impossible to foresee what it would lead to. “The path from A to Z can be so complex and end up at such a strange point that it’s nearly impossible to look at today’s tools and extrapolate what they might become,” Housel writes.